Creative and analytical software engineering undergraduate with a passion for technology and a proven track record in data science, machine learning, and software development. Currently advancing my expertise through hands-on roles such as Trainee AI/ML Engineer and academic pursuits in computer science, I excel at leading collaborative projects—from designing AI-driven platforms to optimising data workflows. Skilled in diverse programming paradigms and modern development tools, I thrive in solving complex problems and fostering innovation through open-source contributions and technical volunteer work. Recognised for achievements in competitive tech challenges and committed to lifelong learning, I aim to leverage my academic rigour and industry exposure to deliver impactful solutions in both professional and community-driven roles.
- Languages & Core: Python, JavaScript/TypeScript, HTML/CSS, SQL, Java, Bash, LaTeX, Rust, Go
- Web & APIs: React.js (Redux, Router), Next.js, Express.js, Flask (RESTful), FastAPI, Spring Boot
- AI & Data: PyTorch, TensorFlow (+Lite), scikit-learn, Detectron2, CrewAI, Amazon Bedrock (+Agents), LangGraph, Agno, RAG pipelines, Apache Airflow
- Infra & DevOps: AWS, Azure, GCP, Firebase, Docker, Serverless, Microservices, RabbitMQ, Kafka, SQS, Observability
- Databases: SQL, SQLite, MongoDB, DynamoDB
- Testing & QA: pytest, unittest, Cypress, Postman, DeepSource
- IoT & Hardware: Arduino, Raspberry Pi, socket-level networking
- Deployment & Hosting: Render, Heroku, Google App Engine
- No-Code: MindStudio